datastructures.html

显著区域检测。求的图像中感兴趣区域的位置

 See also <a href="LTUsimulate.html" class="code" title="function [output,newStates] = LTUsimulate(LTUnetwork,states,inputs,numIter)">LTUsimulate</a>, <a href="LTUsegmentMap.html" class="code" title="function [resultMap,segMaps] = LTUsegmentMap(map,seedPoint,varargin)">LTUsegmentMap</a>, <a href="makeLTUsegmentNetwork.html" class="code" title="function LTUnetwork = makeLTUsegmentNetwork(mapSize,thresh)">makeLTUsegmentNetwork</a>.</pre></div>

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<div class="fragment"><pre>0001 <span class="comment">% dataStructures - lists the data structures used in the SaliencyToolbox.</span>
0002 <span class="comment">%</span>
0003 <span class="comment">% DATA STRUCTURES USED IN THE SALIENCYTOOLBOX</span>
0004 <span class="comment">%</span>
0005 <span class="comment">% Global variables</span>
0006 <span class="comment">%    IS_INITIALIZED: flag that initializeGlobal was called.</span>
0007 <span class="comment">%    IMG_EXTENSIONS: cell arrays with possible extensions for image files.</span>
0008 <span class="comment">%         DEBUG_FID: file identifier for debugMsg output.</span>
0009 <span class="comment">%                PD: path delimiter for your operating system.</span>
0010 <span class="comment">%          BASE_DIR: base directory for data and image locations.</span>
0011 <span class="comment">%           IMG_DIR: directory for images.</span>
0012 <span class="comment">%          DATA_DIR: directory for data.</span>
0013 <span class="comment">%           TMP_DIR: directory for temporary files.</span>
0014 <span class="comment">%</span>
0015 <span class="comment">%  See also initializeGlobal, declareGlobal, debugMsg.</span>
0016 <span class="comment">%</span>
0017 <span class="comment">%</span>
0018 <span class="comment">% Image - stores information about an image.</span>
0019 <span class="comment">%   filename: the file name relative to IMG_DIR.</span>
0020 <span class="comment">%       data: the image data (UINT8 or double)</span>
0021 <span class="comment">%             Each image structure has to contain the filename or the data</span>
0022 <span class="comment">%             field. It can have both.</span>
0023 <span class="comment">%       type: some text label.</span>
0024 <span class="comment">%       size: the size of the image.</span>
0025 <span class="comment">%       dims: the number of dimensions of the image (2 or 3).</span>
0026 <span class="comment">%       date: time stamp.</span>
0027 <span class="comment">%</span>
0028 <span class="comment">% See also initializeImage.</span>
0029 <span class="comment">%</span>
0030 <span class="comment">%</span>
0031 <span class="comment">% Map - 2d data structure with extra information.</span>
0032 <span class="comment">%     origImage: Image from which this map was computed.</span>
0033 <span class="comment">%         label: text label identying the map.</span>
0034 <span class="comment">%          data: 2d array with the map data.</span>
0035 <span class="comment">%          date: time stamp.</span>
0036 <span class="comment">%    parameters: parameters used for generating this map.</span>
0037 <span class="comment">%</span>
0038 <span class="comment">% See also displayMap, displayMaps.</span>
0039 <span class="comment">%</span>
0040 <span class="comment">%</span>
0041 <span class="comment">% Pyramid - a multi-resolution pyramid for a particular feature.</span>
0042 <span class="comment">%    origImage: the source image.</span>
0043 <span class="comment">%        label: text label denoting the feature.</span>
0044 <span class="comment">%         type: type of subsampling, one of: 'dyadic','sqrt2','TopDown'.</span>
0045 <span class="comment">%       levels: vector of maps containing the levels of this pyramid.</span>
0046 <span class="comment">%         date: time stamp.</span>
0047 <span class="comment">%</span>
0048 <span class="comment">% See also makeFeaturePyramids, displayPyramid, runSaliency.</span>
0049 <span class="comment">%</span>
0050 <span class="comment">%</span>
0051 <span class="comment">% SaliencyParams - set of parameters used for generating a saliency map.</span>
0052 <span class="comment">%               foaSize: size of the focus of attention for disk-IOR.</span>
0053 <span class="comment">%           pyramidType: 'dyadic' or 'sqrt2'.</span>
0054 <span class="comment">%              features: cell array of the features to be used for saliency computation</span>
0055 <span class="comment">%                        possible values: 'Color', 'Intensities', 'Orientations', 'Skin','TopDown'.</span>
0056 <span class="comment">%               weights: vector of weights for each feature (same length as features)</span>
0057 <span class="comment">%               IORtype: type of inhibition of return, one of: 'shape','disk','None'.</span>
0058 <span class="comment">%             shapeMode: one of: 'None','shapeSM','shapeCM','shapeFM','shapePyr'.</span>
0059 <span class="comment">%           levelParams: structure with pyramid level parameters.</span>
0060 <span class="comment">%              normtype: Map normalization type, one of: 'None','LocalMax','Iterative'.</span>
0061 <span class="comment">%               numIter: Number of iterations for 'Iterative' normtype.</span>
0062 <span class="comment">%             useRandom: Use random jitter (1) or not (0) for converting coodinates.</span>
0063 <span class="comment">%    segmentComputeType: Method for shape segmentation, one of: 'Fast','LTU'.</span>
0064 <span class="comment">%         smOutputRange: saliency map output in Amperes (1e-9).</span>
0065 <span class="comment">%             noiseAmpl: amplitude of random noise (1e-17).</span>
0066 <span class="comment">%            noiseConst: amplitude of contant noise (1e-14).</span>
0067 <span class="comment">%           gaborParams: structure with parameters for Gabor orientation filters.</span>
0068 <span class="comment">%             oriAngles: vector with orientation angles (in degrees).</span>
0069 <span class="comment">%    visualizationStyle: style used for visualizing attended locations,</span>
0070 <span class="comment">%                        one of: 'Contour', 'ContrastModulate', 'None'.</span>
0071 <span class="comment">%</span>
0072 <span class="comment">% See also diskIOR, makeGaussianPyramid, makeSaliencyMap, applyIOR, estimateShape,</span>
0073 <span class="comment">%          centerSurround, maxNormalize, winnerToImgCoords, makeGaborFilter,</span>
0074 <span class="comment">%          defaultGaborParams, defaultLevelParams, plotSalientLocation.</span>
0075 <span class="comment">%</span>
0076 <span class="comment">%</span>
0077 <span class="comment">% levelParams - a structure with parameters for pyramid levels for</span>
0078 <span class="comment">%               center-surround operations</span>
0079 <span class="comment">%     minLevel: lowest pyramid level (starting at 1) for center-surround computations.</span>
0080 <span class="comment">%     maxLevel: highest pyramid level for center-surround.</span>
0081 <span class="comment">%     minDelta: minimum distance (levels) between center and surround.</span>
0082 <span class="comment">%     maxDelta: maximum distance (levels) between center and surround.</span>
0083 <span class="comment">%     mapLevel: pyramid level for all maps, including the saliency map.</span>
0084 <span class="comment">%</span>
0085 <span class="comment">% See also defaultLevelParams, centerSurround, winnerToImgCoords.</span>
0086 <span class="comment">%</span>
0087 <span class="comment">%</span>
0088 <span class="comment">% gaborParams - a structure with parameters for Gabor orientation filters.</span>
0089 <span class="comment">%       filterPeriod: the period of the filter in pixels.</span>
0090 <span class="comment">%         elongation: the ratio of length versus width.</span>
0091 <span class="comment">%         filterSize: the size of the filter in pixels.</span>
0092 <span class="comment">%             stddev: the standard deviation of the Gaussian envelope in pixels.</span>
0093 <span class="comment">%             phases: the phase angles to be used.</span>
0094 <span class="comment">%</span>
0095 <span class="comment">% See also defaultGaborParams, makeGaborFilter, gaborFilterMap, makeOrientationPyramid.</span>
0096 <span class="comment">%</span>
0097 <span class="comment">%</span>
0098 <span class="comment">% hueParams - describes 2d Gaussian color distribution in CIE space.</span>
0099 <span class="comment">%        muR: mean value in the CR direction.</span>
0100 <span class="comment">%       sigR: standard deviation in the CR direction.</span>
0101 <span class="comment">%        muG: mean value in the CG direction.</span>
0102 <span class="comment">%       sigG: standard deviation in the CG direction.</span>
0103 <span class="comment">%        rho: correlation coefficient between CR and CG.</span>
0104 <span class="comment">%</span>
0105 <span class="comment">% See also hueDistance, makeHuePyramid, skinHueParams.</span>
0106 <span class="comment">%</span>
0107 <span class="comment">%</span>
0108 <span class="comment">% saliencyData - a vector of structures for each feature with additional</span>
0109 <span class="comment">%                information from computing the saliency map.</span>
0110 <span class="comment">%      origImage: Image structure of the input image.</span>
0111 <span class="comment">%          label: the feature name.</span>
0112 <span class="comment">%            pyr: a vector of pyramids for this feature.</span>
0113 <span class="comment">%             FM: a vector of feature maps.</span>
0114 <span class="comment">%       csLevels: the center and surround levels used to</span>
0115 <span class="comment">%                 compute the feature maps from the pyramids.</span>
0116 <span class="comment">%             CM: the conspicuity map for this feature.</span>
0117 <span class="comment">%           date: time stamp.</span>
0118 <span class="comment">%</span>
0119 <span class="comment">% See also makeSaliencyMap, estimateShape, runSaliency.</span>
0120 <span class="comment">%</span>
0121 <span class="comment">%</span>
0122 <span class="comment">% shapeData - information about the shape of the attended regions.</span>
0123 <span class="comment">%       origImage: the Image structure for the source image.</span>
0124 <span class="comment">%          winner: the winning location in saliency map coordinates.</span>
0125 <span class="comment">%      winningMap: the map for the most salient feature at the winner location.</span>
0126 <span class="comment">%         iorMask: the mask used for shape-based inhibition of return.</span>
0127 <span class="comment">%       binaryMap: a binary map of the attended region.</span>
0128 <span class="comment">%    segmentedMap: the winning map segmented by the binary map.</span>
0129 <span class="comment">%        shapeMap: a smoothed version of segmentedMap.</span>
0130 <span class="comment">%            date: time stamp.</span>
0131 <span class="comment">%</span>
0132 <span class="comment">% See also estimateShape, shapeIOR, applyIOR, plotSalientLocation, runSaliency.</span>
0133 <span class="comment">%</span>
0134 <span class="comment">%</span>
0135 <span class="comment">% WTA - a winner-take-all neural network.</span>
0136 <span class="comment">%       sm: LIF neuron field for input from the saliency map.</span>
0137 <span class="comment">%      exc: excitatory LIF neurons field.</span>
0138 <span class="comment">%    inhib: inhibitory inter-neuron.</span>
0139 <span class="comment">%</span>
0140 <span class="comment">% See also initializeWTA, evolveWTA.</span>
0141 <span class="comment">%</span>
0142 <span class="comment">%</span>
0143 <span class="comment">% LIF - leaky integrate and fire neuron (field).</span>
0144 <span class="comment">%     timeStep: time step for integration (in sec).</span>
0145 <span class="comment">%        Eleak: leak potential (in V).</span>
0146 <span class="comment">%         Eexc: potential for excitatory channels (positive, in V).</span>
0147 <span class="comment">%         Einh: potential for inhibitory channels (negative, in V).</span>
0148 <span class="comment">%        Gleak: leak conductivity (in S).</span>
0149 <span class="comment">%         Gexc: conductivity of excitatory channels (in S).</span>
0150 <span class="comment">%         Ginh: conductivity of inhibitory channels (in S).</span>
0151 <span class="comment">%    GinhDecay: time constant for decay of inhibitory conductivity (in S).</span>
0152 <span class="comment">%       Ginput: input conductivity (in S).</span>
0153 <span class="comment">%      Vthresh: threshold potential for firing (in V).</span>
0154 <span class="comment">%            C: capacity (in F).</span>
0155 <span class="comment">%         time: current time (in sec).</span>
0156 <span class="comment">%            V: current membrane potential (in V) - can be an array for several neurons.</span>
0157 <span class="comment">%            I: current input current (in A) - can be an array for several neurons.</span>
0158 <span class="comment">%     DoesFire: neuron can (1) or cannot (0) fire.</span>
0159 <span class="comment">%</span>
0160 <span class="comment">% See also defaultLeakyIntFire, evolveLeakyIntFire, initializeWTA.</span>
0161 <span class="comment">%</span>
0162 <span class="comment">%</span>
0163 <span class="comment">%   LTUnetwork - a network of N linear threshold units.</span>
0164 <span class="comment">%    connections: N x N weight matrix, a sparse matrix.</span>
0165 <span class="comment">%     thresholds: 1 x N vector with thresholds for the units.</span>
0166 <span class="comment">%      input_idx: the indices of all input units in the network.</span>
0167 <span class="comment">%     output_idx: the indices of all output units in the network.</span>
0168 <span class="comment">%       numCells: the number of units.</span>
0169 <span class="comment">%          label: a text label fo the network.</span>
0170 <span class="comment">%</span>
0171 <span class="comment">% See also LTUsimulate, LTUsegmentMap, makeLTUsegmentNetwork.</span>
0172 
0173 <span class="comment">% This file is part of the SaliencyToolbox - Copyright (C) 2006-2007</span>
0174 <span class="comment">% by Dirk B. Walther and the California Institute of Technology.</span>
0175 <span class="comment">% See the enclosed LICENSE.TXT document for the license agreement.</span>
0176 <span class="comment">% More information about this project is available at:</span>
0177 <span class="comment">% http://www.saliencytoolbox.net</span>
0178 
0179 more on;
0180 help(mfilename);
0181 more off;</pre></div>
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